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Biometric Image Enhancement using Decision Rule Based Image Fusion Techniques

机译:基于判定规则的图像融合技术的生物识别图像增强

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摘要

Introducing biometrics into information systems may result in considerable benefits. Most of the researchers confirmed that the finger print is widely used than the iris or face and more over it is the primary choice for most privacy concerned applications. For finger prints applications, choosing proper sensor is at risk. The proposed work deals about, how the image quality can be improved by introducing image fusion technique at sensor levels. The results of the images after introducing the decision rule based image fusion technique are evaluated and analyzed with its entropy levels and root mean square error.
机译:将生物识别性引入信息系统可能导致相当大的益处。大多数研究人员证实,手指印刷广泛使用而不是虹膜或面部,更多的是大多数隐私相关应用的主要选择。对于手指打印应用,选择适当的传感器面临风险。所提出的工作涉及,如何通过在传感器水平处引入图像融合技术来改善图像质量。通过其熵级别进行评估并分析图像后图像在引入判定规则的图像融合技术之后的图像结果。

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